A. Anas C.

Detecting noisy labels in training data to enhance the robustness/safety of diagnostic deep learning models in healthcare.

Designed and implemented efficient geometric algorithms on Sage to detect rectifiable tetrahedra, supervised by Prof. Bjorn Poonen. Compiled and updated a list of currently known tetrahedra with Dehn invariant zero, publishing findings in research articles (https://arxiv.org/search/math?searchtype=author&query=Chentouf,+A+A).

Teaching Assistant for Signal Processing- holding office hours, preparing/grading weekly problem sets, and managing course resources.

Designed course syllabus and prepared lectures and assignments for a 6-unit class (half the standard courseload) titled 'Number Theory for Computer Scientists'/ Led a team of 3 instructors in teaching topics relevant to cryptography and theoretical computer science to 70+ students.

Applied ideas from Fourier analysis to approximate the distribution of prime numbers generated by elliptic curves. Published a paper on such prime gaps at the Journal of Number Theory, andgave an invited talk at the Québec-Maine Number Theory Conference.

Conducting research in computational number theory, at the intersection of pure mathematics and algorithms. Optimized computations from 19.5 hours to 19 seconds using hashing and pre-processing.

Validated robust fraud-detection frameworks using econometric models to effectively prevent malicious users from defrauding services. Trained machine learning models (using pandas, scikit-learn) to analyze market trade volume and reduce lending risk in web3 setting. Developed a real-time data mining/analysis pipeline to collect and process NFT market prices using Python. Collaborated with third-party providers to assess and align fraud detection systems with company needs, ensuring optimal solutions for mitigating risks.

Conducted research on (de-)correlating maps using probability theory and information theory.

Undergraduate Assistant for 18.781 (Theory of Numbers), received evaluations of 7.0/7.0 on "stimulated interest, displayed knowledge, supported learning".